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Polar labeling: silver standard algorithm for training disease classifiers
MOTIVATION: Expert-labeled data are essential to train phenotyping algorithms for cohort identification. However expert labeling is time and labor intensive, and the costs remain prohibitive for scaling phenotyping to wider use-cases. RESULTS: We present an approach referred to as polar labeling (PL...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7214041/ https://ncbi.nlm.nih.gov/pubmed/32049335 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa088 |
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